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Definition of subgroups for fixed regression in the test-day animal model for milk production ofHolsteincattle in theCzech Republic

Author

Listed:
  • L. Zavadilová

    (Research Institute of Animal Production in Prague, Czech Republic)

  • E. Němcová

    (Research Institute of Animal Production in Prague, Czech Republic)

  • J. Přibyl

    (Research Institute of Animal Production in Prague, Czech Republic)

  • J. Wolf

    (Research Institute of Animal Production in Prague, Czech Republic)

Abstract

The investigation was based on roughly 3.9, 2.7 and 1.7 million test-day records from first, second and third lactation, respectively, sampled from 596 200 Czech Holstein cows between the years 1991 and 2002. Breeding values were estimated from multi-lactation random-regression test-day models which contained the fixed effect of herd-test day, fixed regression on days in milk and random regressions on the animal level and the permanent environmental effect. Third degree Legendre polynomials (with four coefficients) were used for both the fixed and random regressions. The models differed in fixed regression. In Analysis I, 96 subclasses were defined according to age at calving, season and year of calving within lactation. In Analysis II, days open were additionally included as a grouping factor resulting in 480 subclasses. Rank correlations over 0.98 between both analyses were observed for breeding values for sires. Grouping according to Analysis I was recommended.

Suggested Citation

  • L. Zavadilová & E. Němcová & J. Přibyl & J. Wolf, 2005. "Definition of subgroups for fixed regression in the test-day animal model for milk production ofHolsteincattle in theCzech Republic," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 50(1), pages 7-13.
    • Handle: RePEc:caa:jnlcjs:v:50:y:2005:i:1:id:3976-cjas
    DOI: 10.17221/3976-CJAS
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    Cited by:

    1. H. Krejčová & J. Přibyl & J. Přibylová & M. Štípková & N. Mielenz, 2008. "Genetic evaluation of daily gains of dual-purpose bulls using a random regression model," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 53(6), pages 227-237.

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